Join and Meet Operations for Interval-Valued Complex Fuzzy Logic
Interval-valued complex fuzzy logic is able to handle scenarios where both seasonality and uncertainty feature. The interval-valued complex fuzzy set is defined, and the interval valued complex fuzzy inferencing system outlined. Highly pertinent to complex fuzzy logic operations is the concept of rotational invariance, which is an intuitive and desirable characteristic. Interval-valued complex fuzzy logic is driven by interval-valued join and meet operations. Four pairs of alternative algorithms for these operations are specified; three pairs possesses the attribute of rotational invariance, whereas the other pair lacks this characteristic.
DMU Interdisciplinary Group in Intelligent Transport Systems
Citation : Greenfield, S., Chiclana, F. and Dick, S. (2016) Join and Meet Operations for Interval-Valued Complex Fuzzy Logic. 35th North American Fuzzy Information Processing Society Annual Conference, NAFIPS 2016.
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes